Papers
1
Total Citations
9
H-Index
1
About
Anne Qian is a leading figure in laboratory automation and liquid handling optimization, with a particular focus on the challenges posed by viscous fluids. Her most-cited work, “Optimization of liquid handling parameters for viscous liquid transfers with pipetting robots, a ‘sticky situation’” (2024, 9 citations), addresses a critical bottleneck in high-throughput experimentation: the accurate and reproducible transfer of non-Newtonian liquids. By applying multi-objective optimization to aspiration and dispense rates, Qian’s research provides a systematic framework for adapting automated platforms to handle “sticky” samples—from biological reagents to polymer solutions—without compromising precision or throughput. This contribution is foundational for advancing reproducibility in drug discovery, synthetic biology, and materials science, where viscous liquids are common. Though early in her career, Qian’s work has already been recognized for its practical impact, bridging the gap between theoretical fluid dynamics and real-world robotic implementation. Her findings offer immediate, actionable guidance for researchers seeking to improve liquid handling protocols, making her a rising authority in the automation community.
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